Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 1.2 * weight - 47
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WILDE Etienne | 70 |
| 4 | HODGE Stephen | 74 |
| 12 | MADOUAS Laurent | 70 |
| 16 | FIGNON Laurent | 67 |
| 18 | WINNEN Peter | 60 |
| 39 | RUÉ Gérard | 74 |
| 40 | MARIE Thierry | 68 |
| 51 | WAMPERS Jean-Marie | 82 |
| 53 | ROCHE Stephen | 74 |
| 54 | STEPHENS Neil | 65 |
| 66 | PEETERS Wilfried | 76 |
| 69 | NIJDAM Jelle | 70 |
| 74 | ARNTZ Marcel | 70 |